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Russia turns to AI filters to hunt down VPNs in 2.2-billion-ruble crackdown

Russia has deployed an AI-powered traffic filter worth 2.27 billion rubles to detect and choke VPN connections across the country. Here's all we know.

Russia turns to AI filters to hunt down VPNs in 2.2-billion-ruble crackdown

Russia has invested 2.27 billion rubles in integrating AI technology into its national web filtering system to target VPN connections. The sophisticated predictive model, developed by experts, analyzes metadata such as packet sizes, transmission intervals, session lengths, and server patterns to identify VPN traffic. Roskomnadzor, Russia's communications watchdog, has officially deployed the AI tool, which is part of the centralized architecture used to control deep packet inspection hardware on domestic internet providers.

The AI tool, classified as intelligent decision support, assists Roskomnadzor staff in determining what content to block, with 101 users accessing the system. However, experts warn that the rollout could disrupt all VPN protocols, making it increasingly difficult for millions of citizens who rely on VPN software to access independent news and blocked foreign websites.

The AI-based filtering mechanism could render advanced stealth protocols ineffective, causing frequent connection drops and hindering the use of various protocols. Roskomnadzor's automated filtering system is already causing disruptions in Russian business networks, with traffic analysis algorithms misclassifying traffic in 5% to 6% of cases.

While Russian law technically exempts internal corporate VPNs, enterprise connections are often misclassified as circumvention tunnels, leading to the collapse of unrelated websites and corporate cloud applications when hosting subnets are blacklisted. The Kremlin is also preparing to double its internet censorship budget, with another 10.2 billion rubles allocated to upgrade deep packet inspection boxes in 2026, further tightening the digital noose around VPN users in Russia.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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